🧠 Stroke Prediction using Machine Learning

This project applies various ML algorithms to predict the likelihood of a stroke based on medical and lifestyle data.

📁 Dataset: health.csv

Features include:

• Demographic: Age, Gender, Marital Status
• Medical: Hypertension, Heart Disease, Glucose Level, BMI
• Lifestyle: Work Type, Smoking Status, Residence Type

📊 ML Models Used

• Logistic Regression
• Decision Tree
• Naive Bayes
• Bernoulli Naive Bayes
• Support Vector Machine
• K-Nearest Neighbors

📓 Notebook

Check out the complete notebook:
Open in nbviewer

🌐 Project Page

Live demo: Site

🚀 How to Run the Project Locally

1. Clone the repository

   git clone https://github.com/HarshBiyani/stroke-prediction.git

2. Navigate into the React app directory

   cd stroke-prediction-website

3. Install dependencies

   npm install

4. Start the development server

   npm run start

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